JOB LOCATION: 2260 E. Imperial Hwy, El Segundo, CA 90245 [Hybrid position]

DUTIES: Build and refine predictive models using traditional statistical methods and modern machine learning techniques. Gather, analyze, and interpret data from disparate sources. Develop big data analytics models using tools including Tableau, Palantir, Power BI, and business process integration. Quantify data variances and apply statistical methods within the big data space. Use traditional modeling techniques to build models with trend analysis and statistical analysis using data to explain and predict behavior, build business cases, and provide insights and solutions. Leverage programming languages including Python for model development and SQL for database interactions. Ensure models are robust, scalable, and applicable. Engage with complex datasets including ADLS, MySQL, Teradata, and Oracle. Craft comprehensive reports, charts, and visual aids to summarize findings and insights. Consult and recommend directions to business partners and provide insights into patterns and relationships in data. Utilize analytics software, computer programming, data movement tools, and statistics and actuarial modeling. Complete business assessments. Apply advanced knowledge of data architecture, data science, graphic visualization, and informatics and information sciences.

REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree, in Computer Science, Data Science, or Business Analytics and two (2) years of experience in the job offered, or two (2) years of experience in a related occupation building and refining predictive models using traditional statistical methods and modern machine learning techniques; developing big data analytics models using tools including Tableau, Palantir, Power BI, and business process integration; quantifying data variances and applying statistical methods within the big data space;

leveraging programming languages including Python for model development and SQL for database interactions; ensuring models are robust, scalable, and applicable; engaging with complex datasets including ADLS, MySQL, Teradata, and Oracle; crafting comprehensive reports, charts, and visual aids to summarize findings and insights; and utilizing analytics software, computer programming, data movement tools, and statistics and actuarial modeling.

Our Lead Advanced Analytics earn between $150,107 - $196,100 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

Joining our team comes with amazing perks and benefits:

· Medical/Dental/Vision coverage

· 401(k) plan

· Tuition reimbursement program

· Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

· Paid Parental Leave

· Paid Caregiver Leave

· Additional sick leave beyond what state and local law require may be available but is unprotected

· Adoption Reimbursement

· Disability Benefits (short term and long term)

· Life and Accidental Death Insurance

· Supplemental benefit programs: critical illness/accident hospital indemnity/group legal

· Employee Assistance Programs (EAP)

· Extensive employee wellness programs

· Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.